code: def forward(self, dist: Tensor) -> Tensor:
      dist = dist.view(-1, 1) - self.offset.view(1, -1)
      return torch.exp(self.coeff * dist.pow(2))
  
imports: import torch
  from torch import Tensor
  from torch.nn import BatchNorm1d, Embedding, Linear, ModuleList, Sequential
  from torch_geometric.nn import radius_graph
  from torch_geometric.nn.inits import reset
  from torch_geometric.nn.models.dimenet import triplets
  from torch_geometric.nn.models.schnet import ShiftedSoftplus
  from torch_geometric.typing import OptTensor
  from torch_geometric.utils import scatter
label_desc: Use image node_id 3 for calling the GaussianFilter obj's underlying member method code with example usage: obj.forward(dist) and returns: torch